Open access and open science/research are highly topical conversations, with increasing computational intensity of research leading to calls for open access to source code and data, in order to reproduce research outputs. Both of these topics will be touched upon at eResearch NZ 2013:
The presentation addressing open licencing most directly will be from Deborah Fitchett. Deborah is from Lincoln University and will be presenting on “Myths vs Realities: the truth about open data”. Here is an excerpt from her abstract:
This talk will present and counter common open data myths, providing counter-examples and evidence from recent scholarly communication studies. Researchers will gain the background they need to make informed decisions about publishing their data, while information professionals will benefit from an increased familiarity with potential concerns and an ability to better inform their researcher colleagues.
The most participative sessions are likely to be two workshops being held in the afternoons of the conference:
- The Hacking a New Zealand Data Management Guide workshop aims to collaboratively produce a Data Management Guide for New Zealand research. Participants will work together to bring the best of international practice into the local context, facilitated by Fabiana Kubke, The University of Auckland.
- Yanan Zhao and Natalie Thompson from the University of Auckland are hosting a workshop entitled “The more visible the publication, the more discoverable and citable?”. The workshop will focus on giving tools to researchers to maximise the visibility of their research outputs.
As well as these sessions, there are several other interesting presentations highlighting various approaches to support open and reproducible research:
- Shreyas Cholia, Lawrence Berkeley National Labs, will be discussing the Materials Project in a lightning talk. The Materials Project is an attempt to accelerate discovery of new materials by creating a common database for the materials community.
- Engaging a Scientific Community in Contributing to a Biological Database from Paul Gardner from the University of Canterbury. Paul will introducing a project to migrate an RNA database to a collaboratively produced model and discusses the challenges of this model to research.
- Tools for reproducible neuroimaging: an example from diffusion MRI from Ariel Rokem of Stanford University. This will be a presentation of open source libraries developed in the Python programming language for reading/writing MRI data, for analysis of MRI data and for constructing reproducible analysis pipelines.
These are only a small taste of what is being offered at this year's conference. If you have an interest in open and reproducible research, make your way to Christchurch for a fantastic event! Register now.